Machine Learning Experts: Linear Algebra Exam Audit
About this role
What We're Researching
We're hiring machine learning experts to evaluate technical assessment materials used for training and testing purposes. This paid study focuses on validating a set of intermediate linear algebra questions formatted in JSON. Your expertise will help us ensure that the exam accurately measures core competencies like eigenvalue properties, matrix operations, and principal component analysis.
How It Works
During this remote task, you will receive a JSON file containing multiple-choice, short-answer, and coding questions related to linear algebra. You will audit all options and correct answers for technical accuracy while eliminating any ambiguous distractor choices. For the coding questions, you will verify the prompts, refine the rubrics, and write additional edge test cases to ensure robustness. Finally, you will submit the corrected and approved JSON file for our review.
Who This Is For
We are looking for advanced machine learning practitioners with a strong academic or applied background in mathematics. We welcome Machine Learning Engineers, Data Scientists, AI Researchers, and University Instructors who teach linear algebra or data science. You must be comfortable reviewing technical JSON files and writing Python code using NumPy for matrix operations.
What You'll Do
Audit multiple-choice options and correct answers for technical accuracy
Identify and eliminate ambiguous distractor choices in the exam questions
Verify coding question prompts and grading rubrics for completeness
Write and append edge test cases for NumPy matrix operations
Format and return the final corrected exam in a valid JSON structure
Who Should Apply
Professional experience as a Machine Learning Engineer, Data Scientist, or related role
Deep technical understanding of intermediate linear algebra concepts (PCA, SVD, eigenvalues)
Proficiency in Python and NumPy for matrix manipulation and pseudoinverse calculations
Comfortable reading, editing, and validating structured JSON data
Compensation
$11 one-time
Ready to participate?
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
Company at a glance
Terac is an AI-native two-sided marketplace headquartered in downtown San Francisco that connects enterprises with specialized expertise to high-quality professionals on demand. The company's mission is to fundamentally change how labor is allocated globally by using AI-driven matchmaking to connect experts with work opportunities based on thousands of signals about capability, performance, preferences, and potential. Currently placing thousands of experts per month across 50+ projects for 25+ clients, Terac serves leading AI research companies, market research firms, data companies training AI models, and research organizations. With a panel of 100,000+ professionals and ambitions to scale to 10 million, the company has achieved an eight-figure annual run rate and expects to exceed $10 million in revenue in the next year. Having raised $9 million in seed funding, Terac is preparing to launch a Series A round while rapidly expanding its team from 4-5 people to approximately 15 members, with plans to reach 30 by year end.
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